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FireOptimizer: Customizing latency and quality for your production inference workload

Fireworks

Introducing FireOptimizer, our adaptation engine designed to customize and enhance AI model performance for your unique use cases.

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DeepSeek V4 Pro: Validating Frontier Models for ProductionFireworks Accelerating Code Completion with Fireworks Fast LLM InferenceFireworks Introducing Fireworks on Microsoft Foundry: Bringing Best-in-Class Open Model inference to AzureFireworks Qwen 3.7 Plus is now live on FireworksFireworks FireLLaVA: the first commercially permissive OSS LLaVA modelFireworks Launching Fireworks for Startups Program!Fireworks 10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify Tagalog Speech to TextDeepgram Unpacking sandbox startup latency: why started ≠ readyModal Sidecars: A low-latency trust boundary for SandboxesModal How to serve trillions of tokens for trillion-parameter coding agentsModal Product updates: Datadog integration, lower function latency & moreModal Building a Remote MCP Server: OAuth, Tool Design & Lessons from 4,000+ AI Queries | MotherDuckMotherduck Summer Data Engineering RoadmapMotherduck The rise of slow personal assistantsCerebras Simulating Human Behavior with Cerebras - CerebrasCerebras KAUST and Cerebras Named Gordon Bell Award Finalist for Solving Multi-Dimensional SeismicCerebras 100x Defect Tolerance: How Cerebras Solved the Yield Problem - CerebrasCerebras Cerebras Announces Six New AI Datacenters Across North America and Europe to Deliver Industry’sCerebras AMD and Cerebras Announce Disaggregated AI InferenceCerebras